资深软件工程师 - 平台与云服务
Staff Software Engineer - Platform and Cloud Services
作为数据优先的合同生命周期管理(CLM)软件领域最值得信赖的全球领导者,Agiloft 帮助组织通过我们灵活的数据优先协议平台(DAP)来管理从提案、谈判、签署到利用合同的全流程。以合同数据为基础,客户可以快速协作达成一致,并利用合同的可见性获得竞争优势。借助强大的、务实的人工智能作为法律力量的倍增器,以及强大的集成能力作为数据解放者,全球各地的组织都信任 Agiloft 的认证实施人员,为整个合同生命周期提供连接、智能和自主的解决方案。
Gartner、Forrester 和 IDC 等顶级分析机构均认为 Agiloft 是 CLM 领域的领导者。我们的无代码平台易于业务用户管理和维护,这也是为什么 Agiloft 是您会一直使用的合同:几乎 100% 的新客户对初始实施感到满意,而且有 97% 的客户每年都会续约。我们是一家不断增长、充满活力、成功的公司,处于一个正在成为所有组织必备品的市场前沿。
我们认为,打造最强劲、最充满活力的工作场所的方法是吸纳来自各行各业的个人,并支持他们每天都能带来真实的自我。我们的工作理念是“EX = CX”:当员工体验优秀时,客户体验也会优秀。我们支持多个员工资源小组(ERGs),并提供支持健康工作与生活平衡的工作环境,包括浮动假期和每季度一次无需解释的健康日。
职位概述
这是一个基础工程岗位。您将负责平台的一个关键领域,Agiloft 的 CLM 产品正是建立在该平台上,您是少数几位由资深工程师组成的小团队之一,每个人负责平台的核心部分,并共同塑造其发展方向。这个职位侧重于后端和分布式系统,您将对该领域的深度拥有所有权,并对设计、可扩展性、可靠性和安全性承担端到端的责任,随着产品和客户数量的增长。
您将与工程负责人、高级工程师、产品负责人和合作伙伴团队在整个组织中协作,了解产品的发展方向,将业务和产品目标转化为持久的平台架构,并在不同利益相关者之间达成一致。
查看英文原文
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
This is a foundational engineering role. You will own a critical domain of the platform on which Agiloft's CLM product is built as one of a small team of staff engineers who each own a core part of the platform and shape its direction together. This is a backend- and distributed-systems–weighted position with deep ownership of your domain and end-to-end accountability for its design, scalability, reliability, and security as the product and customer base grow.
You will work across the organization with engineering leaders, senior engineers, product leaders, and partner teams to understand where the product is going, translate business and product goals into durable platform architectures, and align diverse stakeholders on the technical direction. This means, you will set architectural direction alongside a peer group of staff engineers of your caliber. This is a hands-on leadership role that combines deep backend and cloud expertise with the influence to drive architecture across functional boundaries.
Job Responsibilities
DATA MODEL & PLATFORM ARCHITECTURE
- Own the canonical data models and service boundaries in your domain
- Design models and boundaries that let independent systems evolve in parallel without duplicating logic or creating competing implementations
- Evolve the platform through additive, backward-compatible changes that introduce new capabilities without disrupting existing behavior.
- Own the architecture of one or more critical platform domains, with responsibility for design integrity, scalability, reliability, security, and long-term technical health.
DISTRIBUTED SYSTEMS & CLOUD ARCHITECTURE (AWS)
- Design AWS-native, event-driven and asynchronous services that scale on demand, degrade gracefully under load, and remain cost-efficient as volume grows.
- Architect the backend to enable and support AI/ML workloads at scale with a focus on performance, scalability and cost efficiency.
- Act as architectural steward for these services, keeping them scalable, resilient, secure, and maintainable as customer and platform demands grow.
- Drive cloud-native design principles: stateless services, managed-service adoption, and failure-tolerant, self-healing architectures.
SECURITY & MULTI-TENANCY
- Treat tenant isolation, authentication, and authorization as first-class design concerns across every service and API you own.
- Design secure authentication and token-handling flows, permission-aware data access, and safe credential management for an enterprise, multi-tenant platform.
- Design for correct, isolated behavior across tenant, environment, and data-residency boundaries, and reason explicitly about security posture and blast radius when centralizing sensitive capabilities.
TECHNICAL LEADERSHIP & CROSS-FUNCTIONAL INFLUENCE
- Partner with product- and engineering leaders to develop a deep understanding of customer and business needs and translate them into platform architectures that solve the problem
- Lead the technical design of major platform initiatives end to end, and drive alignment across teams and functions whose priorities and incentives do not always converge.
- Integrate diverse stakeholders and project teams around a shared technical direction, navigating differing functional interests with sound judgment and strong interpersonal skill.
- Produce clear, rigorous design documents, service contracts, and acceptance criteria that others can review, build on, and trust, setting the standard for technical design on the team.
- Use AI-assisted tools to accelerate and sharpen design and implementation, applying the judgment to know where they add leverage and where deeper thinking is required.
- Lead by example in applying AI-assisted engineering tools to accelerate architecture, design, implementation, and testing, using sound technical judgment to amplify productivity without compromising quality, maintainability, or depth of thinking.
API DESIGN
- Design clean, versioned API contracts on top of the platform's data models — including high-scale bulk and asynchronous operations — with deterministic behavior, idempotency, structured error handling, and well-defined limits.
- Establish contract tests and permission-enforcement validation as first-class parts of every API you design.
DELIVERY & ENGINEERING EXCELLENCE
- Own initiatives end to end from design through release, with accountability for product quality in your domain and high standards for reliability, security, observability, performance, scalability, usability, and cost across the services you own
- Champion modern practices: infrastructure-as-code, automated testing, continuous delivery, and observability-by-default
- Lead platform-modernization and refactoring initiatives while maintaining delivery velocity and improve the developer experience for the services you own.
- Identify and drive improvements to how the engineering organization designs and delivers
- Contribute across the stack when an initiative calls for it, including UI layers on top of the platform services you build; backend remains the primary focus.
ORGANIZATIONAL IMPACT & MENTORSHIP
- Serve as a technical multiplier unblocking teams, accelerating architectural decisions, and reducing long-term complexity.
- Partner with CloudOps, Security, MLOps, and integration teams to define reliability targets, operational-readiness standards, and clean interfaces between domains.
- Mentor senior and mid-level engineers, raising the bar for data-model and systems design, security, and design-document quality.
- Stay ahead of a fast-moving industry, particularly the rapid evolution of AI capabilities, and drive pragmatic adoption where it delivers clear business value.
- Other duties as assigned.
Required Qualifications
- Bachelor's and/or master's degree in Computer Science, Information Systems, Software or Electrical/Electronics Engineering, or a comparable field.
- 8+ years of professional software engineering experience, including 2+ years at staff level.
- Demonstrated leadership of architecture decisions spanning multiple teams with concrete examples of driving cross-team technical direction to a decision.
- Proven ability to drive technical outcomes across diverse stakeholders and teams that report into different functions, aligning divergent interests without direct authority.
- Track record of owning significant initiatives end to end, including release ownership.
- Strong proficiency in Python (working experience in Java a plus), building backend and cloud-based services.
- Deep experience designing, building, and operating scalable, enterprise-grade distributed systems on AWS.
- Strong data-modeling and service-architecture skills, with a track record of building durable, reusable abstractions that other teams adopt and extend without rework.
- Experience designing backend systems that enable demanding workloads wih high-throughput data pipelines, asynchronous processing, or ML/inference services at scale and with cost-efficiently.
- Solid grounding in application security and multi-tenancy: authentication/authorization, token handling, tenant isolation, and permission-aware data access.
- Experience designing high-scale API contracts
- Strong experience with infrastructure-as-code and CI/CD for cloud services.
- Strong understanding of observability in distributed systems: logging, metrics, tracing, and alerting.
- A demonstrated habit of staying current with rapidly evolving AI capabilities and integrating them into how you work and design.
- Excellent written and verbal communication in English
Preferred Qualifications
Additional Experience (a plus)
- Building services that support AI/ML product features and data pipelines
- Integrating third-party SaaS platforms and connectors with attention to security and reliability.
- Search and retrieval systems
- Domain familiarity with CLM, contracts, or comparable enterprise B2B platforms.
Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at .
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
Originally posted on Himalayas